September 10, 2015

The Future of the Enterprise

  • Ansari F.
  • Siddiqui F.
  • Sparks K.

Enterprises are in many ways the laggards of the new digital era, as their processes and internal and external services remain rooted in the analog or physical world, and the digital systems they use are frequently disjoint and out-of-date relative to the latest web or consumer services and applications. However, that is about to change and enterprises are about to undergo a massive transformation to become virtual in the broadest sense. The new virtual enterprise will undergo a comprehensive digital transformation to become adaptive, efficient, and location-independent. It will also build on the assets of others, virtualize and digitize its own assets to the largest extent possible, automating the dynamic utilization of those assets and the connection to its business processes, and continuously optimizing the employee and customer experience.

Recent Publications

August 09, 2017

A Cloud Native Approach to 5G Network Slicing

  • Francini A.
  • Miller R.
  • Sharma S.

5G networks will have to support a set of very diverse and often extreme requirements. Network slicing offers an effective way to unlock the full potential of 5G networks and meet those requirements on a shared network infrastructure. This paper presents a cloud native approach to network slicing. The cloud ...

August 01, 2017

Modeling and simulation of RSOA with a dual-electrode configuration

  • De Valicourt G.
  • Liu Z.
  • Violas M.
  • Wang H.
  • Wu Q.

Based on the physical model of a bulk reflective semiconductor optical amplifier (RSOA) used as a modulator in radio over fiber (RoF) links, the distributions of carrier density, signal photon density, and amplified spontaneous emission photon density are demonstrated. One of limits in the use of RSOA is the lower ...

July 12, 2017

PrivApprox: Privacy-Preserving Stream Analytics

  • Chen R.
  • Christof Fetzer
  • Le D.
  • Martin Beck
  • Pramod Bhatotia
  • Thorsten Strufe

How to preserve users' privacy while supporting high-utility analytics for low-latency stream processing? To answer this question: we describe the design, implementation and evaluation of PRIVAPPROX, a data analytics system for privacy-preserving stream processing. PRIVAPPROX provides three properties: (i) Privacy: zero-knowledge privacy (ezk) guarantees for users, a privacy bound tighter ...